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Monongalia County, West Virginia Traffic Counts

This page delivers traffic analytics for Monongalia County, West Virginia. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Monongalia County, West Virginia among 345 road miles divided in 5,005 segments. Our metrics go beyond simple volume counts to provide actionable insights on traffic intensity, congestion, commercial vehicle flow, and network performance with highest possible granularity (average segment length is 364 ft). Whether you are evaluating a new retail location, planning logistics routes, or assessing infrastructure needs, this data helps you move from assumptions to certainty.
Data sourced from TrafficZoom's proprietary analytics platform.
Data current as of:
Q3 2026
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Total Traffic Volume & Performance

Traffic

11,120

Trucks

8.6%

Average travel time

30.4 min

Congestion ratio

28.3%

Drivers’ average age

39.3 yrs

Drivers’ average income

$76,113

Our data indicates an estimated average traffic volume of 11,120 vehicles per day in Monongalia County, West Virginia that results in 3,884,374 vehicle-miles traveled per day (≈1.4 billion per year). The traffic stream is comprised of an average of 1 truck for every 12 vehicles. Typical time spent behind the wheel per trip is 30.4 minutes, which already accounts for delays at signals, intersections, and congestion.

Analytical insight

When compared to the West Virginia state averages: Monongalia sees 51% higher average daily traffic volume than the state average (11,120 vehicles per day against 7,367), suggesting more demand on each road - a critical factor for logistics and site planning. Network-wide, Monongalia accounts for about 5.3% of West Virginia's statewide total, at 3,884,374 vehicle-miles traveled per day (≈1.4 billion per year). The average trip takes 30.4 minutes, 1% lower than the state level. At 32% higher than the state level, the 28.3% congestion ratio signals more pronounced congestion - crucial for traffic control improvement and logistics planning. 96% of counties in West Virginia see less traffic than Monongalia's 11,120 vehicles per day. 54% of counties in West Virginia have a shorter average travel time than Monongalia's 30.4 minutes.

Highway vs. Non-Highway Traffic Analysis

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Highway Traffic

Traffic

18,421

Trucks

12.4%

Average travel time

39.7 min

Congestion ratio

37.6%

Drivers’ average age

44.0 yrs

Drivers’ average income

$81,664

A significant volume of traffic in Monongalia County, West Virginia utilizes the highway network. The average highway carries 18,421 vehicles per day, 74% more than the average non-highway road in the same area, which carries 10,611 vehicles per day. That average covers 87 highway road miles divided in 326 segments (average segment length 1,401 ft), together carrying 1,888,783 vehicle-miles traveled per day (≈689 million per year). By highway travel volume, that ranks Monongalia in the top 5 counties in West Virginia. Trucks constitute 12.4% of highway traffic.

Analytical insight

The concentration of trucks on highways (12.4%) is 18% lower than the state average for similar road classifications. This indicates Monongalia serves as a primarily local traffic hub. For logistics operators, this validates the importance of local access. 43% of counties in West Virginia see a lower highway truck share than Monongalia's 12.4%. By raw truck volume, Monongalia carries more highway trucks than 78% of counties in West Virginia.
non-highway traffic icon

Non-highway traffic

Traffic

10,611

Trucks

5.1%

Average travel time

29.7 min

Congestion ratio

27.7%

Drivers’ average age

37.9 yrs

Drivers’ average income

$72,773

The non-highway road network in Monongalia County, West Virginia supports a substantial volume of traffic. The average non-highway road carries 10,611 vehicles per day, 42% less than the average highway in the same area, which carries 18,421 vehicles per day. That average covers 258 non-highway road miles divided in 4,679 segments (average segment length 292 ft), together carrying 1,995,591 vehicle-miles traveled per day (≈728 million per year). Trucks constitute 5.1% of non-highway traffic.

Analytical insight

Compared to highways, non-highway routes see 59% fewer trucks by share. At 34% higher than the state level, the non-highway congestion ratio of 27.7% signals more friction on local roads. Monongalia's overall average travel time exceeds 54% of counties in West Virginia. Trip origins here have higher average income than 94% of counties in West Virginia. Drivers here also skew toward the lowest median age in West Virginia, at 39 years.

Time-of-Day & Seasonal Patterns

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Peak Traffic Windows
Weekday peaks:
AM peak 10:00 AM–12:00 PM and PM peak 4:00 PM–6:00 PM, with volumes reaching approximately 74% higher than the daily average.
Weekend traffic:
Weekend volumes run about 13% below weekday levels.
seasonal traffic icon
Seasonal Fluctuation
Busy season:
May–July is the high season, with volumes +6% versus the annual average.
Lowest month:
January is the quietest month, with volumes -16% versus the annual average.

Analytical insight

In Monongalia County, West Virginia, the peak hour concentrates about 7% of the day's traffic, and seasonal swing is mild at +6% in high season.

Traffic Flow Profile Comparison

Metric

Monongalia

West Virginia
Average

Difference

Traffic

11,120

7,367

+50.9%

Truck % (Total Traffic)

8.6%

11.0%

-21.6%

Truck % (Highway)

12.4%

15.1%

-17.7%

Avg. Travel Time

30.4 min

30.8 min

-1.2%

Data Sources & Methodology

The data presented on this page is derived from TrafficZoom's proprietary analytics platform, which aggregates and normalizes information from multiple sources, including:

Mobile device location data (anonymized and aggregated)

Road sensor networks and traffic counters

Historical traffic pattern databases

Public traffic count programs published by the

West VirginiaDepartment of Transportation

Historical traffic pattern databases

U.S. Census Bureau
All metrics represent estimates based on statistical modeling and are intended for strategic planning purposes.
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Data current as of:
Q3 2026

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